Who are we
Fulcrum Digital is an agile and next-generation digitalaccelerating company providing digital transformation and technology servicesright from ideation to implementation. These services have applicability acrossa variety of industries, including banking & financial services, insurance,retail, higher education, food, healthcare, and manufacturing.
Job Summary:
We are seeking a skilled and innovative Azure AI Engineerto design, build, and deploy intelligent applications and solutions usingMicrosoft Azure AI services. The ideal candidate will have a strong backgroundin machine learning, natural language processing, and cloud-nativearchitectures, with a focus on leveraging Azure’s AI and Machine Learningcapabilities to solve real-world problems.
Key Responsibilities:
- Design and develop AI solutions using Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, and other Azure-based tools.
- Implement and deploy machine learning models, NLP models, and computer vision solutions in a scalable and secure Azure environment.
- Collaborate with data scientists, software developers, and DevOps teams to integrate AI services into applications and business workflows.
- Monitor, evaluate, and improve model performance using tools like Azure ML, MLflow, and responsible AI dashboards.
- Ensure solutions comply with data privacy, ethical AI, and security standards.
- Automate and optimize ML pipelines using Azure ML Pipelines and DevOps integration.
- Stay updated on new Azure AI features and best practices, and recommend improvements.
Requirements
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of hands-on experience with Microsoft Azure, especially in AI/ML services.
- Proficiency in Python, Azure SDKs, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with Azure Machine Learning Studio, Data Factory, Blob Storage, and Azure Functions.
- Familiarity with REST APIs, containers (Docker), and CI/CD pipelines.
- Strong understanding of data preprocessing, feature engineering, model deployment, and monitoring.
Preferred Qualifications:
- Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect certification.
- Experience with Azure OpenAI, ChatGPT, or large language models.
- Exposure to Responsible AI principles and tools.
- Knowledge of MLOps, model versioning, and A/B testing in production environments.
Benefits
· Workwith stakeholders to identify automation opportunities and tailor solutions tobusiness needs.· Performdata preprocessing, feature engineering, and model training to createhigh-performing solutions.· Experiencewith data analysis tools and techniques to uncover insights and optimizemodels.· MicrosoftAzure AI certification will be Big Plus
